{"id":"W7124972820","doi":"10.1007/978-981-96-5890-9_1","title":"Decision-Making Approaches for Deconstruction Operations Optimization: A Literature Review","year":2025,"lang":"en","type":"book-chapter","venue":"Computational intelligence methods and applications","topic":"Recycled Aggregate Concrete Performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Deconstruction (building); Demolition; Field (mathematics); Value (mathematics); Supply chain management; Supply chain; Work (physics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002760464,0.000331253,0.00039868,0.0002267436,0.0002843445,0.0001523778,0.0002288899,0.0002350372,0.00008694594],"category_scores_gemma":[0.00007859642,0.0003411682,0.0001401653,0.0002117812,0.0001039763,0.0001659198,0.00005553405,0.0002993014,0.000007386119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007759148,"about_ca_system_score_gemma":0.00007775232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.210115e-7,"about_ca_topic_score_gemma":8.912791e-7,"domain_scores_codex":[0.9986224,0.00002165696,0.0006307113,0.0004474813,0.0001295431,0.0001481731],"domain_scores_gemma":[0.9982374,0.0009369092,0.00009887641,0.0002974035,0.0003624964,0.00006687731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001207145,0.000001435562,9.081792e-8,0.0006627202,0.00003086548,1.244119e-7,0.000009952776,0.4313233,2.894719e-7,0.1394016,0.0003347392,0.4282337],"study_design_scores_gemma":[0.00002959767,0.000008089831,4.67358e-7,0.005310303,0.00009508384,0.00004405417,0.000005377653,0.8056402,0.00001090894,0.1165852,0.07199312,0.0002775539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[1.254319e-7,0.09506901,0.8746786,0.0001266963,0.0001727179,0.001452904,0.0001717577,0.0001382236,0.02818999],"genre_scores_gemma":[0.00003856059,0.07185301,0.9219791,0.0001442486,0.0001981613,0.001047016,0.0005290616,0.00004532,0.004165493],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4279561,"threshold_uncertainty_score":0.999904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04008652921868337,"score_gpt":0.3545938089253265,"score_spread":0.3145072797066431,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}